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As global measurement trend in GNSS positioning begins to shift focus from RTK to PPP (COR Stations being a major application of PPP) investigations into the effect of tropospheric delay on its positional accuracy is becoming increasingly large.
While several works abound on tropospheric modelling in RTK, and their results have identified
the saastemoinen model as the best model for reducing tropospheric effect on positional accuracy
in GNSS observations, not much has been done to determine the spatio-temporal variability of
tropospheric delay in GNSS positioning either at regional or global scales especially considering
the climate dependent nature of the error and its relevance in metrological applications
(integrated water vapour estimation, Zenith wet delay estimation, Hydrostatic delay estimation
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